About
I am a Master's student in Electrical and Computer Engineering at Johns Hopkins University, focused on backend engineering, AI agents, and data-driven applications.
Recently, I built a Medical RAG Agent featuring ReAct-based tool use, short- and long-term memory, hybrid retrieval, and PostgreSQL-backed medical record workflows. Previously, as a Software Engineer Intern at Datalynn, I developed asynchronous scraping pipelines that processed more than 180,000 rows per day and increased throughput by 4×.
Technologies
Featured Projects
Three projects that best represent my backend, AI, data, and research experience.
Backend Systems · AI Applications
An end-to-end medical question-answering and patient-record system combining hybrid retrieval, agent routing, short-term memory, long-term memory, and structured medical data storage.
Distributed Data Systems · Web Automation
A high-throughput asynchronous web crawling and data-serving system using browser automation, concurrent workers, persistent storage, and REST APIs.
Applied Research · Computer Vision
A research project exploring attention-based temporal feature fusion for 3D object detection in autonomous-driving scenes.
Availability